{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"b0da178dca3a","filters":{"venue":"Statistics and Economics"}},"results":[{"id":"W2784069250","doi":"10.21686/2500-3925-2017-6-59-68","title":"The population policy of the Russian Far East","year":2017,"lang":"en","type":"article","venue":"Statistics and Economics","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Decree; Population; Far East; Government (linguistics); Russian federation; Geography; Christian ministry; Quarter (Canadian coin); Birth rate; Demography; Political science; Demographic economics; Economic growth; Regional science; Sociology; Fertility; Economics; Law","authors":[{"name":"Yu. A. Avdeev","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02409826051989305,"gpt":0.2981479657682847,"spread":0.2740497052483917,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007139382,0.0001253786,0.0001227041,0.0005410995,0.0007189774,0.0009420629,0.0002256202,0.0002798847,0.002614446],"category_scores_gemma":[0.0008717515,0.00007076062,0.0001356439,0.0004600381,0.0005371323,0.0005423636,0.0007699482,0.0003105578,0.0003309213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565985,"about_ca_system_score_gemma":0.00308306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286635,"about_ca_topic_score_gemma":0.01322882,"domain_scores_codex":[0.9995341,0.0001842932,0.00003694141,0.00007467652,0.00007042493,0.00009960844],"domain_scores_gemma":[0.999782,0.000041108,0.00006235793,0.00001889197,0.00006560557,0.00003005201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003375426,0.0001901977,0.3293102,0.0008638851,0.0001156079,0.001799918,0.01687872,0.01360656,0.007001432,0.3627101,0.02691802,0.2402677],"study_design_scores_gemma":[0.00003633863,0.0002868205,0.5148062,0.0005805753,0.00008048096,0.001159139,0.02570917,0.005189202,0.002564285,0.02112001,0.4283973,0.00007049709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786917,0.004917749,0.003506958,0.007623382,0.0002736859,0.0000742446,0.001083142,0.00007526851,0.1037539],"genre_scores_gemma":[0.9842993,0.001636509,0.001416618,0.000485873,0.00005502047,0.00004247531,0.0003695218,0.00000859907,0.01168616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286635,"threshold_uncertainty_score":0.02558291,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3096894607","doi":"10.21686/2500-3925-2020-5-4-15","title":"On the “Anthropogenic” Foundations and Incentives for Economic Development","year":2020,"lang":"en","type":"article","venue":"Statistics and Economics","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Harmonization; Population; Incentive; Quarter (Canadian coin); Human capital; Quality (philosophy); Constructive; Economic statistics; Human resources; Economic growth; Business; Economics; Political science; Geography; Sociology; Market economy; Computer science","authors":[{"name":"Olga Alekseeva","is_ca":false},{"name":"A.B. Sannikova","is_ca":false},{"name":"R. V. Chernyaeva","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05251047784877048,"gpt":0.2988818892802189,"spread":0.2463714114314484,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004685897,0.000290393,0.0003639844,0.001422202,0.001288473,0.005235553,0.0006696421,0.001053786,0.01087883],"category_scores_gemma":[0.01019597,0.0002232335,0.0002729139,0.00212588,0.007811734,0.003426895,0.003226768,0.00117578,0.0007582353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489601,"about_ca_system_score_gemma":0.00402099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001090043,"about_ca_topic_score_gemma":0.00211307,"domain_scores_codex":[0.9952503,0.002908014,0.0001587989,0.0004026879,0.0007997201,0.0004803982],"domain_scores_gemma":[0.9912363,0.003923712,0.001627873,0.001261191,0.001363431,0.0005875762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002122759,0.00002818944,0.004649422,0.0001200712,0.00001487106,0.00006478715,0.0002033349,0.002141265,0.0001447503,0.9758567,0.001912486,0.01484287],"study_design_scores_gemma":[0.00002581875,0.00007463966,0.01469379,0.0003580866,0.00001983769,0.0001611373,0.001911381,0.003783488,0.0004232694,0.8532155,0.1253026,0.00003054766],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1519909,0.005701078,0.06862726,0.05315487,0.0009529148,0.0003075784,0.001051023,0.0002216932,0.7179927],"genre_scores_gemma":[0.9773399,0.002165052,0.008076753,0.001087986,0.0003528943,0.0001558877,0.0001284378,0.00003424026,0.0106589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087883,"threshold_uncertainty_score":0.03639334,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}